The Experts below are selected from a list of 252 Experts worldwide ranked by ideXlab platform

Mikko Valkama - One of the best experts on this subject based on the ideXlab platform.

  • Low-complexity, Multi Sub-band Digital Predistortion
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • low complexity subband digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    IEEE Transactions on Microwave Theory and Techniques, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Kaipeng Li, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing transceivers. In this paper, to suppress such unwanted Emissions, a low-complexity subband digital predistortion solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared with classical linearization solutions. Furthermore, novel decorrelation-based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real-world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

  • low complexity sub band digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    arXiv: Information Theory, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing (FDD) transceivers. In this article, to suppress such unwanted Emissions, a low-complexity sub-band DPD solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared to classical linearization solutions. Furthermore, novel decorrelation based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

  • SiPS - Low-Complexity, Sub-Band DPD with Sequential Learning: Novel Algorithms and WARPLab Implementation
    2016 IEEE International Workshop on Signal Processing Systems (SiPS), 2016
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    Digital predistortion (DPD) is an effective way of mitigating Spurious Emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper an iterative version of the IM3 sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated between the higher and lower IM3 sub-bands until a satisfactory performance is achieved for both of them. A sequential DPD learning procedure is also presented in order to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements on the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and training from previous values. A WARPLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

Mahmoud Abdelaziz - One of the best experts on this subject based on the ideXlab platform.

  • Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • Low-complexity, Multi Sub-band Digital Predistortion
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • ISCAS - Multi component carrier, sub-band DPD and GNURadio implementation
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Joseph R Cavallaro
    Abstract:

    Digital predistortion (DPD) is an effective way of mitigating Spurious Emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper, the IM3 subband DPD, proposed earlier by the authors, is extended to more than two component carriers (CCs) through a sequential learning solution. The DPD learning is iterated over each Spurious Emission generated by each pair and trio of CCs. We train and apply the DPD coefficients for the intermodulation distortion (IMD) products until a satisfactory performance is achieved. The algorithm is tested in simulations using MATLAB and in a novel, real-time implementation on a CPU via a software version of the algorithm using GNURadio.

  • low complexity subband digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    IEEE Transactions on Microwave Theory and Techniques, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Kaipeng Li, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing transceivers. In this paper, to suppress such unwanted Emissions, a low-complexity subband digital predistortion solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared with classical linearization solutions. Furthermore, novel decorrelation-based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real-world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

  • low complexity sub band digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    arXiv: Information Theory, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing (FDD) transceivers. In this article, to suppress such unwanted Emissions, a low-complexity sub-band DPD solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared to classical linearization solutions. Furthermore, novel decorrelation based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

Wu Wei-min - One of the best experts on this subject based on the ideXlab platform.

  • Spurious Emission Interference of TD-SCDMA in Mulriple Coverage
    Computer Science, 2011
    Co-Authors: Wu Wei-min
    Abstract:

    As one of the international standards of 3G raised by China,TD-SCDMA is applied more widely recently.But under the case of coexistence of several wireless systems,interference among them increasingly affects the system performance,which promotes studies on related areas.Since frequency bands are allocated subtly,Spurious Emission interference greatly influences the quality of communication.This paper was based on the theory of Spurious Emission,while interference on TD-SCDMA was quantitatively analyzed referring to standard of each system.The simulation educed detailed data of interference from different systems using Monte-Carlo method.Furthermore,state of interference was described by some parameters such as electronic level and Spurious Emission isolation,which can be referred in the construction of platform for a number of coexisting systems.

Lauri Anttila - One of the best experts on this subject based on the ideXlab platform.

  • Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • Low-complexity, Multi Sub-band Digital Predistortion
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • ISCAS - Multi component carrier, sub-band DPD and GNURadio implementation
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Joseph R Cavallaro
    Abstract:

    Digital predistortion (DPD) is an effective way of mitigating Spurious Emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper, the IM3 subband DPD, proposed earlier by the authors, is extended to more than two component carriers (CCs) through a sequential learning solution. The DPD learning is iterated over each Spurious Emission generated by each pair and trio of CCs. We train and apply the DPD coefficients for the intermodulation distortion (IMD) products until a satisfactory performance is achieved. The algorithm is tested in simulations using MATLAB and in a novel, real-time implementation on a CPU via a software version of the algorithm using GNURadio.

  • low complexity subband digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    IEEE Transactions on Microwave Theory and Techniques, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Kaipeng Li, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing transceivers. In this paper, to suppress such unwanted Emissions, a low-complexity subband digital predistortion solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared with classical linearization solutions. Furthermore, novel decorrelation-based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real-world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

  • low complexity sub band digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    arXiv: Information Theory, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing (FDD) transceivers. In this article, to suppress such unwanted Emissions, a low-complexity sub-band DPD solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared to classical linearization solutions. Furthermore, novel decorrelation based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

Joseph R Cavallaro - One of the best experts on this subject based on the ideXlab platform.

  • Low-complexity, Multi Sub-band Digital Predistortion
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • Low-complexity, Multi Sub-band Digital Predistortion: Novel Algorithms and SDR Verification
    Journal of Signal Processing Systems, 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama, Joseph R Cavallaro
    Abstract:

    The nonlinearities of power amplifiers combined with non-contiguous transmissions found in modern, frequency-agile, wireless standards create undesirable Spurious Emissions through the nearby spectrum of data carriers. Digital predistortion (DPD) is an effective way of combating Spurious Emission violations without the need for a significant power reduction in the transmitter leading to better power efficiency and network coverage. In this paper, an iterative, multi sub-band version of the sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated over intermodulation distortion (IMD) sub-bands until a satisfactory performance is achieved for each of them. A sequential DPD learning procedure is also presented to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements in the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and interpolation of previously trained DPD coefficients. A WarpLab implementation of the proposed DPD is also shown with excellent suppression of the targeted Spurious Emissions.

  • ISCAS - Multi component carrier, sub-band DPD and GNURadio implementation
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Chance Tarver, Mahmoud Abdelaziz, Lauri Anttila, Joseph R Cavallaro
    Abstract:

    Digital predistortion (DPD) is an effective way of mitigating Spurious Emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper, the IM3 subband DPD, proposed earlier by the authors, is extended to more than two component carriers (CCs) through a sequential learning solution. The DPD learning is iterated over each Spurious Emission generated by each pair and trio of CCs. We train and apply the DPD coefficients for the intermodulation distortion (IMD) products until a satisfactory performance is achieved. The algorithm is tested in simulations using MATLAB and in a novel, real-time implementation on a CPU via a software version of the algorithm using GNURadio.

  • low complexity subband digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    IEEE Transactions on Microwave Theory and Techniques, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Kaipeng Li, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing transceivers. In this paper, to suppress such unwanted Emissions, a low-complexity subband digital predistortion solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared with classical linearization solutions. Furthermore, novel decorrelation-based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real-world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.

  • low complexity sub band digital predistortion for Spurious Emission suppression in noncontiguous spectrum access
    arXiv: Information Theory, 2016
    Co-Authors: Mahmoud Abdelaziz, Chance Tarver, Joseph R Cavallaro, Lauri Anttila, Mikko Valkama
    Abstract:

    Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted Emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing (FDD) transceivers. In this article, to suppress such unwanted Emissions, a low-complexity sub-band DPD solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected Spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared to classical linearization solutions. Furthermore, novel decorrelation based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real world scenarios. The obtained results demonstrate that highly efficient Spurious component suppression can be obtained using the proposed solutions.